• Acta Optica Sinica
  • Vol. 40, Issue 17, 1711001 (2020)
Weihua Xiong1、2, Lijuan Li1、2、*, Jiaojiao Ren1、2, Jian Gu1、2, and Dandan Zhang1、2
Author Affiliations
  • 1Key Laboratory of Optoelectric Measurement and Optical Information Transmission Technology of Ministry of Education, School of Opto-Electrnic Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
  • 2National Demonstration Center for Experimental Opto-Electronic Engineering Education, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    DOI: 10.3788/AOS202040.1711001 Cite this Article Set citation alerts
    Weihua Xiong, Lijuan Li, Jiaojiao Ren, Jian Gu, Dandan Zhang. THz Multi-Feature Parameter Imaging of Bonding Defects of High Temperature Composite Materials[J]. Acta Optica Sinica, 2020, 40(17): 1711001 Copy Citation Text show less
    Schematic diagram of sample structure of high temperature composite material. (a) High temperature composite material structure; (b) upper and lower layer defects of high temperature composite material
    Fig. 1. Schematic diagram of sample structure of high temperature composite material. (a) High temperature composite material structure; (b) upper and lower layer defects of high temperature composite material
    Schematic of reflective terahertz
    Fig. 2. Schematic of reflective terahertz
    Introduction of high temperature composite material samples
    Fig. 3. Introduction of high temperature composite material samples
    THz time-domain waveform of feature extraction from different parts of high temperature composite material. (a) Normal bonding area of upper layer; (b) defect bonding area of upper layer; (c) normal bonding area of lower layer; (d) debonding area of lower layer
    Fig. 4. THz time-domain waveform of feature extraction from different parts of high temperature composite material. (a) Normal bonding area of upper layer; (b) defect bonding area of upper layer; (c) normal bonding area of lower layer; (d) debonding area of lower layer
    Experimental imaging results of the upper layer preset defects. (a) Variance imaging; (b) peak-to-peak imaging; (c) energy imaging; (d) coefficient of variation imaging;(e) mean imaging; (f) multi-feature parameter imaging
    Fig. 5. Experimental imaging results of the upper layer preset defects. (a) Variance imaging; (b) peak-to-peak imaging; (c) energy imaging; (d) coefficient of variation imaging;(e) mean imaging; (f) multi-feature parameter imaging
    Physical picture of sample defects. (a) Physical image of the sample defect is not extracted; (b) physical image of the sample defect is extracted
    Fig. 6. Physical picture of sample defects. (a) Physical image of the sample defect is not extracted; (b) physical image of the sample defect is extracted
    Experimental imaging results of the lower layer preset defects. (a) Kurtosis imaging; (b) minimum imaging; (c) amplitude imaging; (d) energy imaging; (e) multi-feature parameter imaging
    Fig. 7. Experimental imaging results of the lower layer preset defects. (a) Kurtosis imaging; (b) minimum imaging; (c) amplitude imaging; (d) energy imaging; (e) multi-feature parameter imaging
    Imaging methodUp defectrelative areaRight defectrelative areaDown defectrelative areaLeft defectrelative area
    Peak-to-peak imaging25.69.1050.982.6
    Coefficient of variation imaging8.318.102.069.1
    Energy imaging26.80.2636.571.2
    Mean imaging18.411.707.520.8
    Variance imaging46.51.9050.982.6
    Multi-feature imaging7.50.082.352.0
    Table 1. Relative area of defects in different imaging methods%
    Imaging methodSizing image contrastImaging methodContrast image
    Minimum imaging0.012801Minimum imaging0.001602
    Peak-to-peak imaging0.021021Energy imaging0.008234
    Maximum imaging0.010086Kurtosis imaging0.020341
    Energy imaging0.004179Amplitude imaging0.012108
    Mean imaging0.002157Multi-feature parameter imaging0.042651
    Variance imaging0.000162
    Multi-feature parameter imaging0.054768
    Table 2. Comparison of image quality
    Weihua Xiong, Lijuan Li, Jiaojiao Ren, Jian Gu, Dandan Zhang. THz Multi-Feature Parameter Imaging of Bonding Defects of High Temperature Composite Materials[J]. Acta Optica Sinica, 2020, 40(17): 1711001
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